Discontinuities in effective permeability due to fracture percolation. (April 2018)

• Record Type: Journal Article
• Authors: Hyman, Jeffrey D.; Karra, Satish; Carey, J. William; Gable, Carl W.; Viswanathan, Hari; Rougier, Esteban; Lei, Zhou
• Is Part Of: Mechanics of materials. Volume 119(2018:Apr.)
• Page Start: 25
• Page End: 33
• Publication Date: 2018-04
• Subjects: Flow in porous media -- Discrete fracture networks -- Percolation,; Strength of materials -- Periodicals; Mechanics, Applied -- Periodicals; Résistance des matériaux -- Périodiques; Mécanique appliquée -- Périodiques; Mechanics, Applied; Strength of materials; Periodicals; Electronic journals; 620.11
• DOI: 10.1016/j.mechmat.2018.01.005
• Languages: English
• ISSNs: 0167-6636

Abstract

Highlights: We characterize how permeability changes with fracture network connectivity. A jump in effective permeability occurs when the fracture network percolates. A power-law relationship between jump size and material properties is observed. Abstract: Motivated by a triaxial coreflood experiment with a sample of Utica shale where an abrupt jump in permeability was observed, possibly due to the creation of a percolating fracture network through the sample, we perform numerical simulations based on the experiment to characterize how the effective permeability of otherwise low-permeability porous media depends on fracture formation, connectivity, and the contrast between the fracture and matrix permeabilities. While a change in effective permeability due to fracture formation is expected, the dependence of its magnitude upon the contrast between the matrix permeability and fracture permeability and the fracture network structure is poorly characterized. We use two different high-fidelity fracture network models to characterize how effective permeability changes as percolation occurs. The first is a dynamic two-dimensional fracture propagation model designed to mimic the laboratory settings of the experiment. The second is a static three-dimensional discrete fracture network (DFN) model, whose fracture and network statistics are based on the fractured sample of Utica shale. Once the network connects the inflow and outflow boundaries, the effective permeability increases non-linearly with network density. In most networks considered, a jump in the effective permeability was observed when the embedded fracture network percolated. We characterize how the magnitude of the jump, should it occur, depends on the contrast between the fracture and matrix permeabilities. For small contrasts between the matrix and fracture permeabilities the change is insignificant. However, for larger contrasts, there is a substantial jump whose magnitude depends non-linearly on the difference between matrix and fracture permeabilities. A power-law relationship between the size of the jump and the difference between the matrix and fracture permeabilities is observed. The presented results underscore the importance of fracture network topology on the upscaled properties of the porous medium in which it is embedded.